Topic: Metaverse-enabled Precision Health
Speaker: Tony Hsiu-Hsi Chen, PhD. Distinguished Professor, Institute of Health Data Analytics and Statistics, National Taiwan University
Time: November 25, 2025 (Tuesday), 12:10 – 14:00 p.m.
Venue: The Management Building, 11F, AI Lecture Hall or Livestreaming https://reurl.cc/oKx6Dg
Registration: https://forms.office.com/r/nBdAaDsgsZ or scan QR code on poster
About the Speaker:
Prof. Hsiu-Hsi Chen specializes in evaluating population-based cancer screening and vaccination programs using advanced statistical models. His work addresses complex issues and develops health economic decision models. Key publications include studies on gastric, colorectal, breast, and oral cancer screening in top journals like JAMA and Gut. He has contributed significantly to stochastic process methods in cancer screening evaluation, published in leading statistics journals. Since 2004, he has chaired the International Asian Cancer Screening Conference Network and collaborated internationally, earning the Finland Distinguished Professor award. Prof. Chen has published over 460 peer-reviewed articles by 2025.
Abstract:
Metaverse-enabled Precision Health combines AI, digital twin technology, and immersive AR/MR to create a precision screening and prevention system across diseases. For example, COVID-19 digital twins simulate infection dynamics for real-time outbreak prediction and resource optimization. In chronic disease, hypertension digital twins integrate monitoring and lifestyle data for personalized risk and prevention. Cancer models use AI to analyze imaging and genetics, improving early detection and screening schedules. This approach enables dynamic, personalized health management by linking predictive modeling with clinical and public health settings, advancing P4 medicine and fostering an integrated digital health ecosystem for precision prevention.
Organizers: Graduate Institute of Health Data Science
※ Registration needed.